We additionally compare against the state-of-the-art models for each of the downstream tasks. For comment updating, the state-of-the-art model is [1]}, which entails Recurrent Neural Network (RNN) based encoders for representing the old comment and code edits, and an
RNN-based decoder for decoding edits.
These edits are parsed at test time and reranked based on similarity to the old
comment and likelihood based on a comment generation model.
